logisticPCA: Binary Dimensionality Reduction
Version 0.2

Dimensionality reduction techniques for binary data including logistic PCA.

AuthorAndrew J. Landgraf
Date of publication2016-03-14 07:54:24
MaintainerAndrew J. Landgraf <andland@gmail.com>
LicenseMIT + file LICENSE
Version0.2
URL https://github.com/andland/logisticPCA
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("logisticPCA")

Getting started

Package overview
README.md
An Introduction to the `logisticPCA` R Package

Popular man pages

cv.lpca: CV for logistic PCA
fitted.lpca: Fitted values using logistic PCA
house_votes84: United States Congressional Voting Records 1984
logisticSVD: Logistic Singular Value Decomposition
log_like_Bernoulli: Bernoulli Log Likelihood
plot.lsvd: Plot logistic SVD
project.Fantope: Project onto the Fantope
See all...

All man pages Function index File listing

Man pages

convexLogisticPCA: Convex Logistic Principal Component Analysis
cv.clpca: CV for convex logistic PCA
cv.lpca: CV for logistic PCA
cv.lsvd: CV for logistic SVD
fitted.lpca: Fitted values using logistic PCA
fitted.lsvd: Fitted values using logistic SVD
house_votes84: United States Congressional Voting Records 1984
inv.logit.mat: Inverse logit for matrices
logisticPCA: Logistic Principal Component Analysis
logisticPCA-package: logisticPCA-package
logisticSVD: Logistic Singular Value Decomposition
log_like_Bernoulli: Bernoulli Log Likelihood
plot.clpca: Plot convex logistic PCA
plot.cv.lpca: Plot CV for logistic PCA
plot.lpca: Plot logistic PCA
plot.lsvd: Plot logistic SVD
predict.clpca: Predict Convex Logistic PCA scores or reconstruction on new...
predict.lpca: Predict Logistic PCA scores or reconstruction on new data
predict.lsvd: Predict Logistic SVD left singular values or reconstruction...
project.Fantope: Project onto the Fantope

Functions

Files

inst
inst/CITATION
inst/doc
inst/doc/logisticPCA.Rmd
inst/doc/logisticPCA.html
inst/doc/logisticPCA.R
tests
tests/testthat.R
tests/testthat
tests/testthat/test-dimensions.R
tests/testthat/test-loglik_missing.R
tests/testthat/test-dimensions_missing.R
src
src/logisticPCA.c
NAMESPACE
NEWS.md
data
data/house_votes84.rdata
R
R/convexLogisticPCA.R
R/logisticPCA-package.R
R/logisticSVD.R
R/data.R
R/helper_functions.R
R/logisticPCA.R
vignettes
vignettes/logisticPCA.Rmd
README.md
MD5
build
build/vignette.rds
DESCRIPTION
man
man/logisticSVD.Rd
man/predict.lpca.Rd
man/house_votes84.Rd
man/plot.lpca.Rd
man/predict.clpca.Rd
man/logisticPCA-package.Rd
man/cv.lsvd.Rd
man/project.Fantope.Rd
man/logisticPCA.Rd
man/convexLogisticPCA.Rd
man/log_like_Bernoulli.Rd
man/plot.cv.lpca.Rd
man/plot.clpca.Rd
man/fitted.lsvd.Rd
man/inv.logit.mat.Rd
man/fitted.lpca.Rd
man/predict.lsvd.Rd
man/plot.lsvd.Rd
man/cv.clpca.Rd
man/cv.lpca.Rd
LICENSE
logisticPCA documentation built on May 19, 2017, 10:46 a.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.